자동차 공력 설계를 위한
인공지능 개발
Support Organization
National Research Foundation of Korea
Research Background
Revolutionary reduction in MRV data post-processing time, and application of hemodynamics-based diagnostic technology in clinical practice
Research Objectives
Development of an ultra-fast carotid blood flow analysis system based on MRV and machine learning
Research Methods
Collection of 3D velocity field MRV data inside the carotid artery from patients with carotid stenosis, and development of a carotid blood flow analysis system using machine learning
Main Results
Carotid blood flow analysis algorithm using machine learning and an optimized system through clinical testing
Blood Flow Analysis System
Using MRV and Machine Learning
Support Organization
Hyundai Motor Company
Research Background
Time/Cost Reduction in Analyzing Wake Flow Field Based on Design Factors during the Automotive Design Development Phase
Research Objectives
Development of an Artificial Intelligence Model to Analyze the Flow Patterns of Automotive Wake Flow Field and Predict the Design Factors Causing Them
Research Methods
Design and Training of an Artificial Intelligence Model with Optimal Flow Data Representation for Predicting Design Factors, and Verification of the Model's Reasoning through Visualization of Results
Main Results
Artificial Intelligence Model Capable of Predicting Design Factors that Influence Flow Patterns
Development of Artificial Intelligence for Aerodynamic Design
